Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that algorithms can learn from it. Without this step, machine learning systems can't ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Selecting a data annotation company is as much a business decision as it is a technical one. The wrong choice slows you down, inflates costs, and sends poor data straight into your model. The right ...

The Amazon Mechanical Turk website, or mturk.com, on April 23, 2014.Daniel Acker—Bloomberg/Getty Images Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is ...